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DBMS > Alibaba Cloud MaxCompute vs. Apache IoTDB vs. RRDtool vs. Sphinx

System Properties Comparison Alibaba Cloud MaxCompute vs. Apache IoTDB vs. RRDtool vs. Sphinx

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Editorial information provided by DB-Engines
NameAlibaba Cloud MaxCompute  Xexclude from comparisonApache IoTDB  Xexclude from comparisonRRDtool  Xexclude from comparisonSphinx  Xexclude from comparison
DescriptionMaxCompute (previously known as ODPS) is a general purpose, fully managed, multi-tenancy data processing platform for large-scale data warehousingAn IoT native database with high performance for data management and analysis, deployable on the edge and the cloud and integrated with Hadoop, Spark and FlinkIndustry standard data logging and graphing tool for time series data. RRD is an acronym for round-robin database. infoThe data is stored in a circular buffer, thus the system storage footprint remains constant over time.Open source search engine for searching in data from different sources, e.g. relational databases
Primary database modelRelational DBMS infoa graph-processing framework is available with the graphs being stored in tablesTime Series DBMSTime Series DBMSSearch engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.85
Rank#203  Overall
#96  Relational DBMS
Score1.31
Rank#159  Overall
#14  Time Series DBMS
Score1.70
Rank#136  Overall
#11  Time Series DBMS
Score5.97
Rank#56  Overall
#5  Search engines
Websitewww.alibabacloud.com/­product/­maxcomputeiotdb.apache.orgoss.oetiker.ch/­rrdtoolsphinxsearch.com
Technical documentationwww.alibabacloud.com/­help/­en/­maxcomputeiotdb.apache.org/­UserGuide/­Master/­QuickStart/­QuickStart.htmloss.oetiker.ch/­rrdtool/­docsphinxsearch.com/­docs
DeveloperAlibabaApache Software FoundationTobias OetikerSphinx Technologies Inc.
Initial release2016201819992001
Current release1.1.0, April 20231.8.0, 20223.5.1, February 2023
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0Open Source infoGPL V2 and FLOSSOpen Source infoGPL version 2, commercial licence available
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC infoImplementations in Java (e.g. RRD4J) and C# availableC++
Server operating systemshostedAll OS with a Java VM (>= 1.8)HP-UX
Linux
FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Data schemeyesyesyesyes
Typing infopredefined data types such as float or dateyesyesNumeric data onlyno
XML support infoSome form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.nonono infoExporting into and restoring from XML files possible
Secondary indexesnoyesnoyes infofull-text index on all search fields
SQL infoSupport of SQLSQL-like query languageSQL-like query languagenoSQL-like query language (SphinxQL)
APIs and other access methodsFluentd
Flume
MaxCompute Console
JDBC
Native API
in-process shared library
Pipes
Proprietary protocol
Supported programming languagesJavaC
C#
C++
Go
Java
Python
Scala
C infowith librrd library
C# infowith a different implementation of RRDTool
Java infowith a different implementation of RRDTool
JavaScript (Node.js) infowith a different implementation of RRDTool
Lua
Perl
PHP infowith a wrapper library
Python
Ruby
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Server-side scripts infoStored proceduresuser defined functions infoin Javayesnono
Triggersnoyesnono
Partitioning methods infoMethods for storing different data on different nodesSharding infoImplicit feature of the cloud servicehorizontal partitioning (by time range) + vertical partitioning (by deviceId)noneSharding infoPartitioning is done manually, search queries against distributed index is supported
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoImplicit feature of the cloud serviceselectable replication methods; using Raft/IoTConsensus algorithm to ensure strong/eventual data consistency among multiple replicasnonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesIntegration with Hadoop and Sparknono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Strong Consistency with Raft
none
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanononono
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoby using the rrdcached daemonyes
Durability infoSupport for making data persistentyesyesyesyes infoThe original contents of fields are not stored in the Sphinx index.
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes
User concepts infoAccess controlAccess rights for users and rolesyesnono

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More resources
Alibaba Cloud MaxComputeApache IoTDBRRDtoolSphinx
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